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In multi input multi output antenna systems, beamforming is a technique for guarding against the negative effects of fading. However, this technique requires the transmitter to have perfect knowledge of the channel which is often not…

Other Computer Science · Computer Science 2011-05-03 Najoua Achoura And Ridha Bouallegue

The great potentials of massive Multiple-Input Multiple-Output (MIMO) in Frequency Division Duplex (FDD) mode can be fully exploited when the downlink Channel State Information (CSI) is available at base stations. However, the accurate CSI…

Information Theory · Computer Science 2024-10-30 Jiajia Guo , Tong Chen , Shi Jin , Geoffrey Ye Li , Xin Wang , Xiaolin Hou

A multiple antenna broadcast channel with perfect channel state information at the receivers is considered. If each receiver quantizes its channel knowledge to a finite number of bits which are fed back to the transmitter, the large…

Information Theory · Computer Science 2007-07-13 Nihar Jindal

In this work, we propose a Gaussian mixture model (GMM)-based pilot design scheme for downlink (DL) channel estimation in single- and multi-user multiple-input multiple-output (MIMO) frequency division duplex (FDD) systems. In an initial…

Information Theory · Computer Science 2024-08-08 Nurettin Turan , Benedikt Böck , Benedikt Fesl , Michael Joham , Deniz Gündüz , Wolfgang Utschick

In the fifth-generation new radio (5G NR) frequency division duplex (FDD) massive multiple-input and multiple-output (MIMO) systems, downlink beamforming relies on the acquisition of downlink channel state information (CSI). Codebook based…

Signal Processing · Electrical Eng. & Systems 2024-09-04 Kai Li , Ying Li , Lei Cheng , Zhi-Quan Luo

In frequency-division duplexing (FDD) massive multiple-input multiple-output (MIMO) systems, downlink channel state information (CSI) needs to be sent back to the base station (BS) by the users, which causes prohibitive feedback overhead.…

Information Theory · Computer Science 2023-06-06 Yifan Ma , Wentao Yu , Xianghao Yu , Jun Zhang , Shenghui Song , Khaled B. Letaief

Coarse quantization at the base station (BS) of a massive multi-user (MU) multiple-input multiple-output (MIMO) wireless system promises significant power and cost savings. Coarse quantization also enables significant reductions of the raw…

Information Theory · Computer Science 2016-04-21 Christoph Studer , Giuseppe Durisi

We study the performance of uplink transmission in a large-scale (massive) MIMO system, where all the transmitters have single antennas and the receiver (base station) has a large number of antennas. Specifically, we analyze achievable…

Information Theory · Computer Science 2013-11-07 Zhengdao Wang

This paper considers an uplink multiuser massive multiple-input-multiple-output (MIMO) system with low-resolution analog-to-digital converters (ADCs), in which K users with a single-antenna communicate with one base station (BS) with Nr…

Information Theory · Computer Science 2017-04-12 Song-Nam Hong , Seonho Kim , Namyoon Lee

The downlink transmission in multi-user multiple-input multiple-output (MIMO) systems has been extensively studied from both communication-theoretic and information-theoretic perspectives. Most of these papers assume perfect/imperfect…

Information Theory · Computer Science 2008-05-05 Jubin Jose , Alexei Ashikhmin , Phil Whiting , Sriram Vishwanath

A limitation of bandwidth in the wireless network and the exponential rise in the high data rate requirement prompted the development of Massive Multiple-Input-Multiple-Output (MIMO) technique in 5G. Using this method the ever rising data…

Signal Processing · Electrical Eng. & Systems 2024-06-11 Mariea Sharaf Anzum , Moontasir Rafique , Md. Asif Ishrak Sarder , Fehima Tajrian , Abdullah Bin Shams

In this paper, we propose a novel channel feedback scheme for frequency division duplexing massive multi-input multi-output systems. The concept uses the notion of user statistical separability which was hinted in several prior works in the…

Information Theory · Computer Science 2018-08-24 Shuang Qiu , David Gesbert , Tao Jiang

Opportunistic scheduling and beamforming schemes with reduced feedback are proposed for MIMO-OFDMA downlink systems. Unlike the conventional beamforming schemes in which beamforming is implemented solely by the base station (BS) in a…

Information Theory · Computer Science 2016-11-17 Man-On Pun , Kyeong Jin Kim , H. Vincent Poor

In frequency division duplexing (FDD) mode, it is necessary to send the channel state information (CSI) from user equipment to base station. The downlink CSI is essential for the massive multiple-input multiple-output (MIMO) system to…

Information Theory · Computer Science 2021-05-05 Zhilin Lu , Hongyi He , Zhengyang Duan , Jintao Wang , Jian Song

We investigate the uplink throughput achievable by a multiple-user (MU) massive multiple-input multiple-output (MIMO) system in which the base station is equipped with a large number of low-resolution analog-to-digital converters (ADCs).…

Information Theory · Computer Science 2017-04-18 Sven Jacobsson , Giuseppe Durisi , Mikael Coldrey , Ulf Gustavsson , Christoph Studer

In this letter, we study the performance of a downlink multiuser massive multiple-input multiple-output (MIMO) system with sub-connected structure over limited feedback channels. Tight rate approximations are theoretically analyzed for the…

Information Theory · Computer Science 2020-06-03 Yaqiong Zhao , Wei Xu , Jindan Xu , Shi Jin , Kezhi Wang , Mohamed-Slim Alouini

In this paper, we design a resource allocation framework for the delay-sensitive Multi-User MIMO (MU-MIMO) broadcast system with limited feedback. Considering the scarcity and interrelation of the transmit power and feedback bandwidth, it…

Information Theory · Computer Science 2013-11-06 Xiaoming Chen , Zhaoyang Zhang , Chau Yuen

Massive multiple-input multiple-output (MIMO) is an important technology in fifth generation (5G) cellular networks and beyond. To help design the beamforming at the base station, 5G has introduced new support in the form of flexible…

Signal Processing · Electrical Eng. & Systems 2023-02-01 Ryan M. Dreifuerst , Robert W. Heath

With the evolution of multiple-input multiple-output (MIMO) technology toward extremely large (XL) MIMO systems comprising hundreds of, or more, antennas, this work investigates scalable and fronthaul-efficient reception design for the…

Signal Processing · Electrical Eng. & Systems 2026-04-24 Dogon Kim , Hyunmin Noh , Seok-Hwan Park

Massive Multiple-Input Multiple-Output (MIMO) is foreseen to be one of the main technology components in next generation cellular communications (5G). In this paper, fundamental limits on the performance of downlink massive MIMO systems are…

Information Theory · Computer Science 2015-01-20 Fredrik Athley , Giuseppe Durisi , Ulf Gustavsson